Services
Project Planning
- Feasibility assessment and Study concept development
- Study protocol development
- Statistical analysis plans (SAPs) development
Statistical Consulting & Real World Data Analysis
- Primary and secondary data collection
- From small scale to large scale data processing
- Statistical programming using R, SQL or STATA
- Implement causal inference methods, including Direct Acyclic Graphs (DAGs), propensity score matching,IPTW and Doubly robust methods
- Implement appropriate method of analysis: generalised linear modelling, survival analysis, mixed-effects & longitudinal data analysis,time-series analysis, meta-analysis, and process mining
- Implement robust quality assurance process: eg., automating and testing of data processing and modelling using R programming codes
- Assess robustness of results by implementing sensitivity analyses
Study Reporting
- Abstracts and posters development
- Manuscript drafting, editing & formatting
- Submission support for high-impact journals
- Reproducibile and regulatory bodies compliant report
Health Economics & HTA Support
- HTA compliant Generalised Linear modelling and survival analysis, including parametric survival models
- NICE-compliant sythematic review and meta-analysis, including pair-wise and network meta-analysis
- NICE-compliant report/submission writing